"""
Statistics and Data Analysis Tools Module

This module contains specialized tools for data analysis and statistical operations:
- data_loader: Universal data loading from multiple file formats
- data_profiler: Comprehensive data profiling and quality assessment
- data_transformer: Data cleaning, transformation, and feature engineering
- data_visualizer: Smart data visualization and chart generation
- statistical_analyzer: Advanced statistical analysis and hypothesis testing
- model_trainer: AutoML and machine learning model training
- ai_data_analysis_orchestrator: AI-powered end-to-end analysis orchestration
- ai_insight_generator: AI-driven insight discovery and pattern detection
- ai_report_orchestrator: AI-powered comprehensive report generation
"""

# Lazy import strategy to avoid heavy dependencies at import time
import logging

logger = logging.getLogger(__name__)

# Define available tools for lazy loading
_AVAILABLE_STATISTICS_TOOLS = [
    "data_loader_tool",
    "data_profiler_tool",
    "data_transformer_tool",
    "data_visualizer_tool",
    "statistical_analyzer_tool",
    "model_trainer_tool",
    "ai_data_analysis_orchestrator",
    "ai_insight_generator_tool",
    "ai_report_orchestrator_tool",
]

# Track which tools have been loaded
_LOADED_STATISTICS_TOOLS = set()


def _lazy_load_statistics_tool(tool_name: str):
    """Lazy load a specific statistics tool module"""
    if tool_name in _LOADED_STATISTICS_TOOLS:
        return

    try:
        if tool_name == "data_loader_tool":
            pass
        elif tool_name == "data_profiler_tool":
            pass
        elif tool_name == "data_transformer_tool":
            pass
        elif tool_name == "data_visualizer_tool":
            pass
        elif tool_name == "statistical_analyzer_tool":
            pass
        elif tool_name == "model_trainer_tool":
            pass
        elif tool_name == "ai_data_analysis_orchestrator":
            pass
        elif tool_name == "ai_insight_generator_tool":
            pass
        elif tool_name == "ai_report_orchestrator_tool":
            pass

        _LOADED_STATISTICS_TOOLS.add(tool_name)
        logger.info(f"Successfully loaded statistics tool: {tool_name}")

    except Exception as e:
        logger.warning(f"Failed to load statistics tool {tool_name}: {e}")


def load_all_statistics_tools():
    """Load all available statistics tools"""
    for tool_name in _AVAILABLE_STATISTICS_TOOLS:
        _lazy_load_statistics_tool(tool_name)


# Auto-load all tools when module is imported
# This ensures all tools are registered
load_all_statistics_tools()

__all__ = ["load_all_statistics_tools", "_lazy_load_statistics_tool"]
